Comparing active learning, semi-supervised learning and combination of them on deep learning.
Semi-Supervised Learning Method for Deep Neural Networks
Code on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
Caffe implementation of our paper: "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning"
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A supervised deep learning based resource allocation scheme for multi-cell wireless system.
Implementation of "Learning Deep Features for Discriminative Localization"[CVPR 2016]
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.